A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level

• Published in: Neural networks Vol. 124; pp. 357 - 372
• Main Authors: Mammone, Nadia, Ieracitano, Cosimo, Morabito, Francesco C.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.04.2020
• Subjects: Beamforming; Brain computer interface; Convolutional neural network; Deep learning; Electroencephalography; Time–frequency analysis; Deep learning; Beamforming; Brain computer interface; Electroencephalography; Time–frequency analysis; Convolutional neural network

A system that can detect the intention to move and decode the planned movement could help all those subjects that can plan motion but are unable to implement it. In this paper, motor planning activity is investigated by using electroencephalographic (EEG) signals with the aim to decode motor prepara...